Select Publications
Preprints
2024, Analysing symbolic data by pseudo-marginal methods, http://arxiv.org/abs/2408.04419v1
,2024, Flexible max-stable processes for fast and efficient inference, http://arxiv.org/abs/2407.13958v4
,2020, Likelihood-based inference for modelling packet transit from thinned flow summaries, http://dx.doi.org/10.48550/arxiv.2008.13424
,2019, Logistic regression models for aggregated data, http://dx.doi.org/10.48550/arxiv.1912.03805
,2019, Composite likelihood methods for histogram-valued random variables, http://dx.doi.org/10.48550/arxiv.1908.11548
,2019, High-dimensional inference using the extremal skew-$t$ process, http://dx.doi.org/10.48550/arxiv.1907.10187
,2019, Estimation and uncertainty quantification for extreme quantile regions, http://dx.doi.org/10.48550/arxiv.1904.08251
,2018, Extremal properties of the multivariate extended skew-normal distribution, http://dx.doi.org/10.48550/arxiv.1810.00680
,2018, New models for symbolic data analysis, http://dx.doi.org/10.48550/arxiv.1809.03659
,2018, Extremal properties of the univariate extended skew-normal distribution, http://dx.doi.org/10.48550/arxiv.1805.03316
,2016, Constructing Likelihood Functions for Interval-valued Random Variables, http://dx.doi.org/10.48550/arxiv.1608.00107
,2016, Exploratory data analysis for moderate extreme values using non-parametric kernel methods, http://dx.doi.org/10.48550/arxiv.1602.08807
,2015, Extreme Dependence Models, http://dx.doi.org/10.48550/arxiv.1508.05561
,2015, Models for extremal dependence derived from skew-symmetric families, http://dx.doi.org/10.48550/arxiv.1507.00108
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